Hymalaia provides an AI agent platform that lets enterprise users query and act on data across 50+ systems using natural language. The hybrid retrieval engine combines keyword and semantic search to generate grounded answers, translate requests into optimized SQL, and automate workflows while maintaining GDPR‑compliant security and auditability.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to access and act on data spread across multiple siloed systems, requiring manual searches, complex query writing, and fragmented workflows that delay decision‑making and increase operational overhead.
Solution
Hymalaia offers an enterprise AI agent platform that unifies access to corporate data through natural‑language interfaces. Users can ask questions and receive grounded, analyst‑level answers powered by an advanced hybrid retrieval system that combines BM25 keyword search with semantic embeddings. The platform’s Agent Mode orchestrates multi‑step reasoning across 50+ connectors, translating natural language into optimized SQL and executing federated queries without requiring SQL expertise. AI agents can automatically generate reports, visualizations, and recommendations, and trigger actions such as CRM updates, workflow executions, or scheduled notifications. Security and governance features—including GDPR compliance, AES‑256 encryption, RBAC, and real‑time audit trails—ensure data remains under the organization’s control while enabling AI‑driven automation at scale.
Target Audience
Primary customers are mid‑size to large enterprises seeking to empower business units—such as sales, support, operations, and product teams—with AI‑driven data discovery, analysis, and automated workflow execution.
Features
- Hybrid Retrieval (BM25 + semantic embeddings) delivering highly accurate, grounded answers with minimal hallucinations
- Agent Mode with graph orchestration for multi‑step problem solving across diverse data sources
- Natural‑language to SQL translation for federated queries across data lakes, warehouses, and SaaS apps
- 50+ pre‑built connectors (Salesforce, HubSpot, Zendesk, Google Drive, Microsoft tools, etc.) providing unified data access
- LLM‑agnostic architecture supporting OpenAI, Anthropic, Google Gemini, or locally hosted models without re‑indexing
- Custom action integration via open API tools and Model Context Protocol (MCP) for real‑time updates to internal systems
- Built‑in security: GDPR‑compliant, AES‑256 encryption, private tenant environments, and role‑based access control synced with SSO providers
- AI governance with traceable decision logs, audit trails, and configurable data permissions